In this paper, we describe a novel data model for particular online business social networks such as Tripadvisor and Yelp: we also define a greedy influence maximization algorithm to determine the most influential users on the base of proper influence patterns. The result of such analysis is then combined with some economic data in order to propose a set of possible financial strategies for business objects. Finally, a case study and some preliminary and interesting results are presented for the Yelp dataset.